Literature DB >> 35721609

Dissipating the Fog at the Crossroad: Predicting Survival after the Initiation of Kidney Replacement Therapy.

Jean-Maxime Côté1,2, William Beaubien-Souligny1,2.   

Abstract

Entities:  

Keywords:  acute kidney injury; acute kidney injury and ICU nephrology; kidney replacement therapy; predictive model; research methods; statistics

Mesh：

Year:  2022        PMID： 35721609      PMCID： PMC9136895          DOI： 10.34067/KID.0001122022

Source DB:  PubMed          Journal:  Kidney360        ISSN： 2641-7650


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  11 in total

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3.  Development of a new mortality scoring system for acute kidney injury with continuous renal replacement therapy.

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4.  Model to predict mortality in critically ill adults with acute kidney injury.

Authors:  Sevag Demirjian; Glenn M Chertow; Jane Hongyuan Zhang; Theresa Z O'Connor; Joseph Vitale; Emil P Paganini; Paul M Palevsky
Journal:  Clin J Am Soc Nephrol       Date:  2011-09       Impact factor: 8.237

5.  Assessing the performance of prediction models: a framework for traditional and novel measures.

Authors:  Ewout W Steyerberg; Andrew J Vickers; Nancy R Cook; Thomas Gerds; Mithat Gonen; Nancy Obuchowski; Michael J Pencina; Michael W Kattan
Journal:  Epidemiology       Date:  2010-01       Impact factor: 4.822

6.  Predicting mortality among critically ill patients with acute kidney injury treated with renal replacement therapy: Development and validation of new prediction models.

Authors:  Daniel H Li; Ron Wald; Daniel Blum; Eric McArthur; Matthew T James; Karen E A Burns; Jan O Friedrich; Neill K J Adhikari; Danielle M Nash; Gerald Lebovic; Andrea K Harvey; Stephanie N Dixon; Samuel A Silver; Sean M Bagshaw; William Beaubien-Souligny
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7.  Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): the TRIPOD statement.

Authors:  Gary S Collins; Johannes B Reitsma; Douglas G Altman; Karel G M Moons
Journal:  Ann Intern Med       Date:  2015-01-06       Impact factor: 25.391

8.  A clinical score to predict mortality in septic acute kidney injury patients requiring continuous renal replacement therapy: the HELENICC score.

Authors:  Rogério da Hora Passos; João Gabriel Rosa Ramos; Evandro Jose Bulhoes Mendonça; Eva Alves Miranda; Fábio Ricardo Dantas Dutra; Maria Fernanda R Coelho; Andrea C Pedroza; Luis Claudio L Correia; Paulo Benigno Pena Batista; Etienne Macedo; Margarida M D Dutra
Journal:  BMC Anesthesiol       Date:  2017-02-07       Impact factor: 2.217

9.  Predicting Renal Recovery After Dialysis-Requiring Acute Kidney Injury.

Authors:  Benjamin J Lee; Chi-Yuan Hsu; Rishi Parikh; Charles E McCulloch; Thida C Tan; Kathleen D Liu; Raymond K Hsu; Leonid Pravoverov; Sijie Zheng; Alan S Go
Journal:  Kidney Int Rep       Date:  2019-01-28

10.  Development and Reporting of Prediction Models: Guidance for Authors From Editors of Respiratory, Sleep, and Critical Care Journals.

Authors:  Daniel E Leisman; Michael O Harhay; David J Lederer; Michael Abramson; Alex A Adjei; Jan Bakker; Zuhair K Ballas; Esther Barreiro; Scott C Bell; Rinaldo Bellomo; Jonathan A Bernstein; Richard D Branson; Vito Brusasco; James D Chalmers; Sudhansu Chokroverty; Giuseppe Citerio; Nancy A Collop; Colin R Cooke; James D Crapo; Gavin Donaldson; Dominic A Fitzgerald; Emma Grainger; Lauren Hale; Felix J Herth; Patrick M Kochanek; Guy Marks; J Randall Moorman; David E Ost; Michael Schatz; Aziz Sheikh; Alan R Smyth; Iain Stewart; Paul W Stewart; Erik R Swenson; Ronald Szymusiak; Jean-Louis Teboul; Jean-Louis Vincent; Jadwiga A Wedzicha; David M Maslove
Journal:  Crit Care Med       Date:  2020-05       Impact factor: 7.598
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